mountain /
process-geometry
Process Geometry is an experimental process-first mathematical library for constructing, comparing, and discovering task-sufficient…
A new way for AI to search for data
2GitHub stars
What XERJ indexed
Selected work
Licence
The repository
Unlicense
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
Unlicense, with credit
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-11-10. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
The prompt
Paste it into your AI agent. It clones mountain/process-geometry at the pinned commit and indexes it on your machine.
Search the GitHub repository mountain/process-geometry with XERJ (https://hub.xerj.org/corpus/mountain--process-geometry). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/mountain/process-geometry process-geometry && git -C process-geometry checkout c47c96fa79123c677172278be59d67ca1cc891b1 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./process-geometry --url http://127.0.0.1:9200 --prefix process-geometry --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: Unlicense. Keep the copyright notice and credit the authors.
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Selected work and consent: the XERJ registry.